Leverage SDXL/SD3 checkpoints, ControlNet, LoRA, and prompt weighting inside a production-ready UI. Achieve photorealistic shots, stylized art, or technical diagrams with repeatable settings.
Examples: See what Nano Banana can do1 / 9
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Prompt used:
"Dismantle the wardrobe into its constituent parts."
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Prompt used:
"Remove the object from the image."
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Prompt used:
"Change the bikini to red"
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Prompt used:
"Transform this anime character into a collectible figure product showcase: Create a physical PVC figure standing on a clear round base, place a product box with the character artwork behind it, and add a computer monitor showing the 3D modeling process in Blender."
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Prompt used:
"Repair and color this photo"
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Prompt used:
"Transform the subject into a handmade crocheted yarn doll with a cute, chibi-style appearance."
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Prompt used:
"Reimagine the photo in the style of Van Gogh's 'Starry Night'."
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Prompt used:
"Change the hair to blue."
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Prompt used:
"Transform the person into a LEGO minifigure, inside its packaging box."
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Stable Diffusion is an open-source latent diffusion model with community checkpoints and control add-ons for repeatable, art-directable imagery.
Run SDXL/SD3 foundations or community finetunes to match brand styles.
Use ControlNet, depth, pose, or edge maps to lock composition and camera framing.
Drop in LoRA weights or style presets to replicate brand lighting and texture fast.
Seeds, prompt weighting, and versioned settings keep outputs consistent for production.
Run SDXL/SD3 with controllable inputs in four steps.
Choose SDXL/SD3 or a tuned checkpoint, set sampler, steps, and aspect ratio.
Describe subject, style, and mood, then add negative prompts to avoid artifacts.
Upload reference images or ControlNet inputs (pose, depth, edges) to anchor layout.
Batch variations, compare outputs, and upscale the winner for delivery.
Open-source flexibility with production-ready controls.
Switch between SDXL/SD3 checkpoints to cover ads, concept art, and technical visuals.
Pose, depth, and edge ControlNets keep framing and perspective stable.
Combine IP-Adapter, LoRA, and image prompts to lock subjects and style.
Balance descriptive and negative prompts to reduce artifacts and improve clarity.
Save seeds and settings to rerun campaigns with identical outputs.
Share presets with teams and pipe Stable Diffusion into automated flows.
Answers to the top questions about using Stable Diffusion for production visuals.
Generate controllable visuals using open-source checkpoints, ControlNet, and LoRA in one interface.